Abstract: Feature selection (FS) is a critical task in data science and machine learning, presenting significant challenges in high-dimensional settings due to the complexity and noise inherent in ...

PReMM, an LLM-based program repair framework for Multi-Method Bugs. PReMM builds on three core components: the faulty method clustering component to partition the faulty methods into clusters based on ...

A number of experts have warned that Lake Mead is going to continue drying up unless something is done "now," in a series of essays released in a report by the Colorado River Research Group. "Our ...

Abstract: Deep subspace clustering methods based on autoencoder (AE) have achieved impressive performance in various applications. However, these methods often place excessive reliance on the AE ...